Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
Hassina Madjour
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Orcid profileSearch for this author on
, Hanane Zermane
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Orcid profileSearch for this author on
, Djemaa Rahmouni
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Orcid profileSearch for this author on
and Mohammed Djamel Mouss
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Orcid profileSearch for this author on
Nov 19, 2024
About this article
Article Category: Research Article
Published Online: Nov 19, 2024
Page range: 183 - 200
DOI: https://doi.org/10.2478/fas-2023-0012
Keywords
© 2023 Hassina Madjour et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Madjour, Hassina
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Zermane, Hanane
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Rahmouni, Djemaa
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Mouss, Mohammed Djamel
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria